> job detail
N
🧪Data Scientist
Business Data Analyst (Bangalore, Karnataka, IN)
NetApp · Bangalore, Karnataka, IN
// classified as
Data Scientist (Modeling, experiments, research.)
posted
1d ago
location
Bangalore, Karnataka, IN
languages
python, sql
tools
oracle, snowflake
> stack
pythonsqloraclesnowflake
> description
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Summary</H2>
</div><div><p><span style="font-family:arial, helvetica, sans-serif">The Enterprise Data & Analytics (EDA) organization at NetApp is seeking a highly motivated and business-focused Analyst to build and support enterprise data, analytics, automation, and AI-driven solutions. The role will partner with business and IT stakeholders to develop Semantic Models, data products, and insights that enable data-driven decision-making across Operations.</span></p>
<p><span style="font-family:arial, helvetica, sans-serif">The ideal candidate will have strong experience in analytics, data management, Power BI, SQL, and modern cloud data platforms. A good understanding of Supply Chain, Procurement, Logistics, or Manufacturing operations, including key business processes and KPIs, is a significant advantage.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Requirements</H2>
</div><div><p><span style="font-family:arial, helvetica, sans-serif"><strong>Key Responsibilities </strong></span></p>
<ul>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Develop and maintain Power BI semantic models and reports </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Perform data extraction, cleansing, transformation, and analysis. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Build and support data pipelines and integrations across enterprise platforms. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Develop AI-enabled solutions, automation workflows, and analytics use cases. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Ensure data quality, governance, and consistency across reporting solutions. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Collaborate with business stakeholders to translate requirements into scalable analytics solutions. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Document business processes, data flows, and technical specifications. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Stay current with emerging trends in Analytics, Data Engineering, Generative AI, and Cloud Technologies. </span></li>
</ul>
<p><span style="font-family:arial, helvetica, sans-serif"><strong>Technical Skills</strong> </span></p>
<ul>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Hands-on experience with Power BI development, dashboard design, and semantic modelling (PL-300 certification preferred). </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Strong SQL, Python and data analysis skills with experience in Snowflake, Oracle, or cloud data platforms. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Experience with Data Engineering, ETL/ELT pipelines, data modelling, and data integration concepts. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Hands-on experience with Power Query, Power Automate, and workflow automation. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Familiarity with Generative AI (Gen AI) tools and enterprise AI platforms. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Experience building or supporting AI Agents (Agentic AI), conversational analytics, or intelligent automation solutions. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Understanding of Machine Learning (ML) models, predictive analytics, and AI-driven decision intelligence use cases. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Knowledge of APIs, VBA, Office Scripts, or other automation technologies is desirable. </span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Understanding of data governance, data quality, and metadata management concepts. </span></li>
</ul>
<p style="font-family:arial, helvetica, sans-serif"> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Education</H2>
</div><div><ul type="disc">
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Analytics, or a related field.</span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Minimum <strong>6 years</strong> of relevant experience required.</span></li>
<li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>7–10 years</strong> of experience in Data Analytics, Business Intelligence, Data Engineering, or AI-enabled solutions preferred.</span></li>
</ul></div></div></div>